October 8, 2024

București

OTHER

Qualifications

Strong level of knowledge acquired over time in a professional HR analytics/data science position, a minimum of 5 years of experience.
Experience with the field of People Analytics specifically, of an analytical / business partnering role in a People / HR function or with a human / psychology / workplace element;
Extensive experience applying statistical, data science and advanced analytics techniques to answer business questions, incl. using storytelling and having the ability to explain complex and contentious subject matter;
Strong knowledge, ability to apply and explain statistical concepts and techniques, both descriptive and inferential, incl. modelling, time-series analysis, with the ability to select the most appropriate techniques for a given use case;
Ability to recognize and interpret business requirement and translate this need into technical design of an analytics solution;
Architectural and/or feature knowledge of one or more of the listed Languages or Packages: Python, R, MATLAB, STATA, SPSS, SAS, Power BI, Tableau;
Experience applying advanced statistical methods and techniques;
Evidence of post qualifying and continuing professional development;
Detail-oriented expert with a strong analytical skill;
Desirable: French/German language speak to a high level of fluency.

Job Responsibilities

Provide leadership and advisory support to clients looking to develop their practice around People Data and Analytics and deepen the way in which data enhances their People/HR function;
Work with clients on their HR Analytics and Research needs, design and deliver data science projects;
Develop analytical tools and products that use a range of structured and unstructured data sets from both people and non-people systems to make predictions in critical areas for clients’ People Experience;
Develop long-term mutually beneficial relationships with clients that allow anticipation of client requirements and an advisory style relationship;
Develop data visualisations that support clients to tell stories with data, garnering support for projects and initiatives that are indicated by the data for prioritisation;
Coach, mentor and develop junior resources;
Deliver work in a structured manner, finding a balance between creativity and practicality to ensure we meet client standards efficiently within the agreed timescales;
Drive innovation and continually develop the team’s knowledge and own knowledge in the areas of statistics, People Analytics, Machine Learning, AI and related topics.